Lambda raised $480 million in a Series D funding round, bringing its total equity capital raised to $863 million. The round was co-led by Andra Capital and SGW, with participation from new investors Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, and NVIDIA, along with strategic investments from Pegatron, Supermicro, Wistron, and Wiwynn. Existing investors, including 1517, Crescent Cove, and USIT, also participated in the round.
Lambda provides AI developers with infrastructure, cloud services, and software for AI model fine-tuning, training, and inferencing. The company has rapidly expanded since its last funding round, achieving SOC 2 Type II compliance for secure cloud services, launching self-serve and on-demand GPU clusters, and introducing the Lambda Model Inference API and Lambda Chat AI Assistant. These offerings provide hosted access to open-source models like DeepSeek R1.
The new funding will support the expansion of Lambda’s cloud platform and AI inferencing capabilities:
- Infrastructure Expansion – Scaling AI cloud infrastructure to support model training and inferencing at scale.
- AI Model Inference API – Enhancing hosted access to open-source AI models for developers.
- Lambda Chat AI Assistant – Strengthening AI-powered conversational tools.
- Security & Compliance – Continued investment in cloud security and compliance frameworks.
“We build software tools that delight the AI Developer, and a platform that truly puts AI into the hands of the many. This investment will accelerate the expansion of the Lambda Cloud platform, Lambda Model Inference API, and Lambda Chat AI Assistant,” said Lambda CEO and co-founder Stephen Balaban.
- Founded in 2012, Lambda is headquartered in San Jose, California. Lambda operates a large-scale AI cloud platform designed to support model training, inference, and deployment at scale. The company’s infrastructure includes thousands of high-performance GPUs optimized for deep learning workloads, enabling customers to train large-scale AI models efficiently. In addition to cloud services, Lambda provides AI-focused hardware solutions, including GPU workstations and servers tailored for research and production environments.
